Data Engineer (1 year fixed-term contract)

Overview Location Overview Working with inspiring and experienced colleagues, you'll find that the atmosphere in our city-centre office in Kraków is informal and engaging. With drive and ingenuity, our teams deliver vital services to PepsiCo employees around the world. With an active, get-things-done culture, this is a place where your dynamism and agility will make a difference. Job Overview With a broader team of more than 250 associates and offices in New York, Chicago, Plano, Silicon Valley and Poland, we’re unleashing the full potential of automation, data science, and machine learning to challenge the way snacks and beverages are sold every day. We’re seeking a Data Engineer for a fixed-term role to join our PepsiCo eCommerce data engineering team. You’ll have a once-in-a-generation opportunity to influence the biggest players in online grocery while also building out data pipelines that are responsible for handling hundreds of millions of dollars in transactions. Responsibilities • You will own development of ETL data pipelines, taking responsibility for designing, data modeling, coding, testing, scalability, operability, and ongoing metrics. • Collaborate with a globally distributed product/platform team that includes product manager, business stakeholders, UX design, data analysts, data scientists, BI, and data engineers • Assist with hiring the best and brightest engineers to the team • Help in creating and maintaining a fantastic work environment and culture that attracts and retains top engineering talent Qualifications Agile Issue tracking tool: JIRA Knowledge repository: Confluence Version control system: GitHub Communication tool: Slack & Teams Cloud providers: AWS, Snowflake & Azure Testing: automated data quality (Great Expectations), performance, unit and DAG testing Orchestration & scheduling: Airflow Infra. virtualization: Docker, Kubernetes (we have a dedicated team for this) Programming: we work mostly in Python, this role requires advanced programming skills, and the ability to collaborate inside and outside the team. Qualifications/Requirements • Bachelor’s Degree (Computer Science or related preferred) • 2+ years of professional experience using Python or similar programming language with knowledge of engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, continuous integrations, testing, and operations • Understanding of RDBMS databases and SQL language • Understanding of data warehousing • Exposure to building ETL pipelines • Strong verbal and written communication skills • Nice to have: knowledge of Web Scraping, Airflow, Kubernetes and Docker • As an asset: hands-on experience with GCP, AWS, or similar


• You will own development of ETL data pipelines, taking responsibility for designing, data modeling, coding, testing, scalability, operability, and ongoing metrics. • Collaborate with a globally distributed product/platform team that includes product manager, business stakeholders, UX design, data analysts, data scientists, BI, and data engineers • Assist with hiring the best and brightest engineers to the team • Help in creating and maintaining a fantastic work environment and culture that attracts and retains top engineering talent


Agile Issue tracking tool: JIRA Knowledge repository: Confluence Version control system: GitHub Communication tool: Slack & Teams Cloud providers: AWS, Snowflake & Azure Testing: automated data quality (Great Expectations), performance, unit and DAG testing Orchestration & scheduling: Airflow Infra. virtualization: Docker, Kubernetes (we have a dedicated team for this) Programming: we work mostly in Python, this role requires advanced programming skills, and the ability to collaborate inside and outside the team. Qualifications/Requirements • Bachelor’s Degree (Computer Science or related preferred) • 2+ years of professional experience using Python or similar programming language with knowledge of engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management, continuous integrations, testing, and operations • Understanding of RDBMS databases and SQL language • Understanding of data warehousing • Exposure to building ETL pipelines • Strong verbal and written communication skills • Nice to have: knowledge of Web Scraping, Airflow, Kubernetes and Docker • As an asset: hands-on experience with GCP, AWS, or similar